HELK/docker/helk-jupyter/notebooks/sigma/win_susp_dns_config.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DNS Server Error Failed Loading the ServerLevelPluginDLL\n",
    "This rule detects a DNS server error in which a specified plugin DLL (in registry) could not be loaded"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule Content\n",
    "```\n",
    "- title: DNS Server Error Failed Loading the ServerLevelPluginDLL\n",
    "  id: cbe51394-cd93-4473-b555-edf0144952d9\n",
    "  description: This rule detects a DNS server error in which a specified plugin DLL\n",
    "    (in registry) could not be loaded\n",
    "  status: experimental\n",
    "  date: 2017/05/08\n",
    "  references:\n",
    "  - https://medium.com/@esnesenon/feature-not-bug-dnsadmin-to-dc-compromise-in-one-line-a0f779b8dc83\n",
    "  - https://technet.microsoft.com/en-us/library/cc735829(v=ws.10).aspx\n",
    "  - https://twitter.com/gentilkiwi/status/861641945944391680\n",
    "  tags:\n",
    "  - attack.defense_evasion\n",
    "  - attack.t1073\n",
    "  author: Florian Roth\n",
    "  logsource:\n",
    "    product: windows\n",
    "    service: dns-server\n",
    "    category: null\n",
    "  detection:\n",
    "    selection:\n",
    "      EventID:\n",
    "      - 150\n",
    "      - 770\n",
    "    condition: selection\n",
    "  falsepositives:\n",
    "  - Unknown\n",
    "  level: critical\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Querying Elasticsearch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from elasticsearch import Elasticsearch\n",
    "from elasticsearch_dsl import Search\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialize Elasticsearch client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "es = Elasticsearch(['http://helk-elasticsearch:9200'])\n",
    "searchContext = Search(using=es, index='logs-*', doc_type='doc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run Elasticsearch Query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = searchContext.query('query_string', query='event_id:(\"150\" OR \"770\")')\n",
    "response = s.execute()\n",
    "if response.success():\n",
    "    df = pd.DataFrame((d.to_dict() for d in s.scan()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.head()"
   ]
  }
 ],
 "metadata": {},
 "nbformat": 4,
 "nbformat_minor": 4
}